Information Quality Assessment for Facility Management. (August 2017)

• Record Type: Journal Article
• Authors: Zadeh, Puyan A.; Wang, Guan; Cavka, Hasan B.; Staub-French, Sheryl; Pottinger, Rachel
• Is Part Of: Advanced engineering informatics. Volume 33(2017)
• Page Start: 181
• Page End: 205
• Publication Date: 2017-08
• Subjects: Information Quality -- Building Information Modeling (BIM) -- Facility Management (FM) -- BIM for FM -- Model-based Project Delivery; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2017.06.003
• Languages: English
• ISSNs: 1474-0346

Abstract

Abstract: Assessing the quality of building information models (BIMs) is an important yet challenging task within the construction industry as projects are increasingly being delivered with BIM. This is particularly essential for facility management (FM) users as downstream information consumers that depend on the quality of models developed in the previous project phases. The research presented in this paper addresses this challenge by introducing a framework for information quality assessment (IQA) of BIMs for FM uses. The IQA framework is the outcome of an extensive study of two large owner organizations involving numerous BIM projects. The framework is structured based on the essential FM subjects: assets, spaces, and systems, and the model characteristics: objects, attributes, relationships, and spatial information. The framework is then operationalized through the development and evaluation of information quality (IQ) tests using BIM model checking tools across three projects with different levels of detail and complexity. The proposed IQA framework and associated tests advance the state of knowledge about BIM quality in terms of methods to represent and evaluate conformance to owner requirements.